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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing easy

How to Reduce Aggregate Counts from Mapped Chunks in Python

Combine a list of mapped chunk dictionaries into a single aggregated count dictionary using functools.reduce.

reduce aggregation dictionary
Python
from functools import reduce
from collections import defaultdict

def aggregate_chunks(mapped_chunks):
    """Combine mapped chunk counts into a single aggregate dict."""
    return reduce(
        lambda acc, chunk: {
            **acc,
            **{k: acc.get(k, 0) + v for k, v in chunk.items()}
        },
       …
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